Agentic AI is taking over conversations — but what does it really mean? In this video, we explore how Agentic AI goes beyond prompts and conversations to act, learn, and evolve — just like real-world autonomous systems. From perception to action, from reasoning to learning, we dive deep into the architecture of modern agents. You’ll learn how to build your own AI agents using tools like GPT-4, LangChain, and OpenAI's Agent SDK, and why the Model Context Protocol (MCP) is a critical layer for intelligent orchestration. Whether you're building with LLMs, deploying code autonomously, or scaling intelligent systems, this video has the insights to elevate your understanding. My Linkedin Profile: 📌 Timestamps 00:00 – Hook: Agentic AI – Hype or Reality? 00:35 – How Agentic AI Goes Beyond Autonomous AI 00:49 – Perceive, Reason, Act, Learn: The Agentic Loop 02:32 – How Modern Agents Actually Work (Architecture Breakdown) 04:14 – Real-World Example: Code Deployment Agent 05:38 – Tools to Build Agents: LangChain, Agent SDK & More 07:00 – What is MCP & Why It Matters in Agentic Workflows 07:55 – Final Thoughts: Future of AI is Agentic AWS Certification: AWS Certified Cloud Practioner: AWS Certified Solution Architect Associate: AWS Certified Solution Architect Professional: #AgenticAI #AIEngineering #LangChain #GPT4 #AutonomousAI #MCP #SoftwareEngineering